Senior Manager AI & Data Science

We are seeking a visionary and technically strong Senior Manager of AI & Data Science to lead a high-performing team focused on delivering scalable AI / ML solutions across onsemi’s global operations. This role will be responsible for building and scaling the core AI and ML platforms, managing cross-functional initiatives, and ensuring responsible AI governance in alignment with onsemi’s policies. You will report to the Sr. Director of AI & Automation and collaborate to execute on the vision to accelerate AI / ML adoption to deliver business value

We’re looking for a hands-on leader who thrives at the intersection of strategy and execution. As a player-coach, you’ll be deeply involved in the technical details—guiding architectural decisions, ensuring AI safety, and shaping workflows using tools like LangGraph, Azure Machine Learning, Databricks, and MLflow. Your expertise in transformer-based models, retrieval-augmented generation (RAG), and vector databases will be instrumental in driving innovation.

But your true impact will come from leadership. You’ll foster a high-performance culture rooted in technical excellence, accountability, and clarity. By mentoring a team of data scientists and machine learning engineers, you’ll help turn ambitious AI roadmaps into scalable, production-ready solutions that power onsemi’s digital transformation

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Key Responsibilities

1. Provide Technical Leadership : Steer the team through critical architectural decisions spanning the full AI / ML stack—from foundational infrastructure like model registries, CI / CD pipelines, and feature stores, to advanced orchestration and observability frameworks for LLMs using tools such as LangGraph, MLflow, Azure ML, and Databricks.

2. Collaborate with business domain managers to define product requirements and identify AI opportunities.

3. Oversee data science project lifecycles, from ideation to production, ensuring alignment with business goals and technical feasibility.

4. Ensure compliance with onsemi’s Responsible AI Use and Governance Policies, including data privacy, model transparency, and ethical use.

5. Partner with IT, data engineering, and business teams to ensure end to end project delivery & execution.

6. Mentor and grow a team of AI, data scientists and machine learning engineers.

7. Represent the AI function in executive forums and cross-functional steering committees.

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Requirements :

• Master’s or PhD in Computer Science, Data Science, Statistics, or a related field.
• 10–15 years of experience in AI / data science, with at least 5 years in a leadership role.
• Proven experience deploying AI / ML solutions in production environments.
• Strong knowledge of cloud platforms (Azure preferred), MLOps, and data governance.
• Excellent communication and stakeholder management skills.
• Experience in semiconductor, manufacturing, or industrial domains is a plus.

Preferred Knowledge and Experience :

Competencies :

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